Multi-objective Deep Reinforcement Learning for Mobile Edge Computing

Multi-objective Deep Reinforcement Learning for Mobile Edge Computing

5 July 2023

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Papers citing "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"

10 / 10 papers shown

Title
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks Feibo Jiang Kezhi Wang Li Dong Cunhua Pan Kun Yang OffRL 53 39 0 24 Jan 2020
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing Lei Lei Huijuan Xu Xiong Xiong K. Zheng W. Xiang Xianbin Wang 65 52 0 19 Jun 2019
Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach Lixing Chen Jie Xu 31 53 0 11 Dec 2018
Computation Rate Maximization for Wireless Powered Mobile-Edge Computing with Binary Computation Offloading Suzhi Bi Y. Zhang 41 695 0 29 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 99 3,414 0 08 Jun 2015
A Survey of Multi-Objective Sequential Decision-Making D. Roijers Peter Vamplew Shimon Whiteson Richard Dazeley 79 655 0 04 Feb 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 469 2,951 0 28 Feb 2010

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